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Parra M, Aldabaldetrecu M, Arce P, Soto-Aguilera S, Vargas R, Guerrero J, Tello M, Modak B. [Cu(NN 1) 2]ClO 4, a Copper (I) Complex as an Antimicrobial Agent for the Treatment of Piscirickettsiosis in Atlantic Salmon. Int J Mol Sci 2024; 25:3700. [PMID: 38612511 PMCID: PMC11011784 DOI: 10.3390/ijms25073700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/18/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Piscirickettsia salmonis is the pathogen that most affects the salmon industry in Chile. Large quantities of antibiotics have been used to control it. In search of alternatives, we have developed [Cu(NN1)2]ClO4 where NN1 = 6-((quinolin-2-ylmethylene)amino)-2H-chromen-2-one. The antibacterial capacity of [Cu(NN1)2]ClO4 was determined. Subsequently, the effect of the administration of [Cu(NN1)2]ClO4 on the growth of S. salar, modulation of the immune system and the intestinal microbiota was studied. Finally, the ability to protect against a challenge with P. salmonis was evaluated. The results obtained showed that the compound has an MIC between 15 and 33.9 μg/mL in four isolates. On the other hand, the compound did not affect the growth of the fish; however, an increase in the transcript levels of IFN-γ, IL-12, IL-1β, CD4, lysozyme and perforin was observed in fish treated with 40 μg/g of fish. Furthermore, modulation of the intestinal microbiota was observed, increasing the genera of beneficial bacteria such as Lactobacillus and Bacillus as well as potential pathogens such as Vibrio and Piscirickettsia. Finally, the treatment increased survival in fish challenged with P. salmonis by more than 60%. These results demonstrate that the compound is capable of protecting fish against P. salmonis, probably by modulating the immune system and the composition of the intestinal microbiota.
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Affiliation(s)
- Mick Parra
- Laboratory of Natural Products Chemistry, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile;
- Laboratory of Bacterial Metagenomic, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (S.S.-A.); (R.V.)
| | - Maialen Aldabaldetrecu
- Laboratory of Coordination Compounds and Supramolecularity, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (M.A.); (P.A.); (J.G.)
| | - Pablo Arce
- Laboratory of Coordination Compounds and Supramolecularity, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (M.A.); (P.A.); (J.G.)
| | - Sarita Soto-Aguilera
- Laboratory of Bacterial Metagenomic, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (S.S.-A.); (R.V.)
| | - Rodrigo Vargas
- Laboratory of Bacterial Metagenomic, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (S.S.-A.); (R.V.)
- Aquaculture Production Unit, Universidad of Los Lagos, Osorno 5290000, Chile
| | - Juan Guerrero
- Laboratory of Coordination Compounds and Supramolecularity, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (M.A.); (P.A.); (J.G.)
| | - Mario Tello
- Laboratory of Bacterial Metagenomic, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile; (S.S.-A.); (R.V.)
| | - Brenda Modak
- Laboratory of Natural Products Chemistry, Centre of Aquatic Biotechnology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9160000, Chile;
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2
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Shi ZJ, Nayfach S, Pollard KS. Maast: genotyping thousands of microbial strains efficiently. Genome Biol 2023; 24:186. [PMID: 37563669 PMCID: PMC10416524 DOI: 10.1186/s13059-023-03030-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 07/31/2023] [Indexed: 08/12/2023] Open
Abstract
Existing single nucleotide polymorphism (SNP) genotyping algorithms do not scale for species with thousands of sequenced strains, nor do they account for conspecific redundancy. Here we present a bioinformatics tool, Maast, which empowers population genetic meta-analysis of microbes at an unrivaled scale. Maast implements a novel algorithm to heuristically identify a minimal set of diverse conspecific genomes, then constructs a reliable SNP panel for each species, and enables rapid and accurate genotyping using a hybrid of whole-genome alignment and k-mer exact matching. We demonstrate Maast's utility by genotyping thousands of Helicobacter pylori strains and tracking SARS-CoV-2 diversification.
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Affiliation(s)
- Zhou Jason Shi
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Gladstone Institutes of Data Science and Biotechnology, San Francisco, CA, USA
| | - Stephen Nayfach
- Joint Genome Institute, Department of Energy, Walnut Creek, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Katherine S Pollard
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
- Gladstone Institutes of Data Science and Biotechnology, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
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3
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Valenzuela B, Benavides A, Leyton F, Moreno F, Cortés M, Ibacache JA. Evaluation of bactericidal activity of 7-arylaminoisoquinolin-5,8-quinones against Piscirickettsia salmonis. JOURNAL OF FISH DISEASES 2023; 46:85-89. [PMID: 36179045 DOI: 10.1111/jfd.13720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Affiliation(s)
- Beatriz Valenzuela
- Environmental Sciences Department, Chemistry and Biology Faculty, Natural Product Chemistry Laboratory, Aquatic Biotechnology Center, University of Santiago of Chile, Santiago, Chile
| | - Almendra Benavides
- Environmental Sciences Department, Chemistry and Biology Faculty, Natural Product Chemistry Laboratory, Aquatic Biotechnology Center, University of Santiago of Chile, Santiago, Chile
| | - Francisco Leyton
- Environmental Sciences Department, Chemistry and Biology Faculty, Organic Synthesis Laboratory, University of Santiago of Chile, Santiago, Chile
| | - Franco Moreno
- Environmental Sciences Department, Chemistry and Biology Faculty, Organic Synthesis Laboratory, University of Santiago of Chile, Santiago, Chile
| | - Marcos Cortés
- Biology Department, Chemistry and Biology Faculty, Immunology Laboratory, Aquatic Biotechnology Center, University of Santiago of Chile, Santiago, Chile
| | - Juana A Ibacache
- Environmental Sciences Department, Chemistry and Biology Faculty, Organic Synthesis Laboratory, University of Santiago of Chile, Santiago, Chile
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4
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Ferri G, Lauteri C, Vergara A. Antibiotic Resistance in the Finfish Aquaculture Industry: A Review. Antibiotics (Basel) 2022; 11:1574. [PMID: 36358229 PMCID: PMC9686606 DOI: 10.3390/antibiotics11111574] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/25/2022] [Accepted: 11/06/2022] [Indexed: 11/07/2023] Open
Abstract
Significant challenges to worldwide sustainable food production continue to arise from environmental change and consistent population growth. In order to meet increasing demand, fish production industries are encouraged to maintain high growth densities and to rely on antibiotic intervention throughout all stages of development. The inappropriate administering of antibiotics over time introduces selective pressure, allowing the survival of resistant bacterial strains through adaptive pathways involving transferable nucleotide sequences (i.e., plasmids). This is one of the essential mechanisms of antibiotic resistance development in food production systems. This review article focuses on the main international regulations and governing the administering of antibiotics in finfish husbandry and summarizes recent data regarding the distribution of bacterial resistance in the finfish aquaculture food production chain. The second part of this review examines promising alternative approaches to finfish production, sustainable farming techniques, and vaccination that circumvents excessive antibiotic use, including new animal welfare measures. Then, we reflect on recent adaptations to increasingly interdisciplinary perspectives in the field and their greater alignment with the One Health initiative.
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Affiliation(s)
- Gianluigi Ferri
- Faculty of Veterinary Medicine, Post-Graduate Specialization School in Food Inspection “G. Tiecco”, University of Teramo, Strada Provinciale 18, 64100 Teramo, Italy
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5
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Ortiz-Severín J, Stuardo CJ, Jiménez NE, Palma R, Cortés MP, Maldonado J, Maass A, Cambiazo V. Nutrient Scarcity in a New Defined Medium Reveals Metabolic Resistance to Antibiotics in the Fish Pathogen Piscirickettsia salmonis. Front Microbiol 2021; 12:734239. [PMID: 34707589 PMCID: PMC8542936 DOI: 10.3389/fmicb.2021.734239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/14/2021] [Indexed: 11/16/2022] Open
Abstract
Extensive use of antibiotics has been the primary treatment for the Salmonid Rickettsial Septicemia, a salmonid disease caused by the bacterium Piscirickettsia salmonis. Occurrence of antibiotic resistance has been explored in various P. salmonis isolates using different assays; however, P. salmonis is a nutritionally demanding intracellular facultative pathogen; thus, assessing its antibiotic susceptibility with standardized and validated protocols is essential. In this work, we studied the pathogen response to antibiotics using a genomic, a transcriptomic, and a phenotypic approach. A new defined medium (CMMAB) was developed based on a metabolic model of P. salmonis. CMMAB was formulated to increase bacterial growth in nutrient-limited conditions and to be suitable for performing antibiotic susceptibility tests. Antibiotic resistance was evaluated based on a comprehensive search of antibiotic resistance genes (ARGs) from P. salmonis genomes. Minimum inhibitory concentration assays were conducted to test the pathogen susceptibility to antibiotics from drug categories with predicted ARGs. In all tested P. salmonis strains, resistance to erythromycin, ampicillin, penicillin G, streptomycin, spectinomycin, polymyxin B, ceftazidime, and trimethoprim was medium-dependent, showing resistance to higher antibiotic concentrations in the CMMAB medium. The mechanism for antibiotic resistance to ampicillin in the defined medium was further explored and was proven to be associated to a decrease in the bacterial central metabolism, including the TCA cycle, the pentose-phosphate pathway, energy production, and nucleotide metabolism, and it was not associated with decreased growth rate of the bacterium or with the expression of any predicted ARG. Our results suggest that nutrient scarcity plays a role in the bacterial antibiotic resistance, protecting against the detrimental effects of antibiotics, and thus, we propose that P. salmonis exhibits a metabolic resistance to ampicillin when growing in a nutrient-limited medium.
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Affiliation(s)
- Javiera Ortiz-Severín
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.,Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile
| | - Camila J Stuardo
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Natalia E Jiménez
- Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile.,Centro de Modelamiento Matemático (AFB170001), Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile and UMI-CNRS 2807, Santiago, Chile
| | - Ricardo Palma
- Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile.,Centro de Modelamiento Matemático (AFB170001), Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile and UMI-CNRS 2807, Santiago, Chile
| | - María P Cortés
- Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile.,Centro de Modelamiento Matemático (AFB170001), Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile and UMI-CNRS 2807, Santiago, Chile
| | - Jonathan Maldonado
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.,Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile
| | - Alejandro Maass
- Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile.,Centro de Modelamiento Matemático (AFB170001), Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile and UMI-CNRS 2807, Santiago, Chile
| | - Verónica Cambiazo
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile.,Fondap Center for Genome Regulation (Fondap 15200002), Universidad de Chile, Santiago, Chile
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6
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Ren Y, Chakraborty T, Doijad S, Falgenhauer L, Falgenhauer J, Goesmann A, Hauschild AC, Schwengers O, Heider D. Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. Bioinformatics 2021; 38:325-334. [PMID: 34613360 PMCID: PMC8722762 DOI: 10.1093/bioinformatics/btab681] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/27/2021] [Accepted: 09/24/2021] [Indexed: 02/03/2023] Open
Abstract
MOTIVATION Antimicrobial resistance (AMR) is one of the biggest global problems threatening human and animal health. Rapid and accurate AMR diagnostic methods are thus very urgently needed. However, traditional antimicrobial susceptibility testing (AST) is time-consuming, low throughput and viable only for cultivable bacteria. Machine learning methods may pave the way for automated AMR prediction based on genomic data of the bacteria. However, comparing different machine learning methods for the prediction of AMR based on different encodings and whole-genome sequencing data without previously known knowledge remains to be done. RESULTS In this study, we evaluated logistic regression (LR), support vector machine (SVM), random forest (RF) and convolutional neural network (CNN) for the prediction of AMR for the antibiotics ciprofloxacin, cefotaxime, ceftazidime and gentamicin. We could demonstrate that these models can effectively predict AMR with label encoding, one-hot encoding and frequency matrix chaos game representation (FCGR encoding) on whole-genome sequencing data. We trained these models on a large AMR dataset and evaluated them on an independent public dataset. Generally, RFs and CNNs perform better than LR and SVM with AUCs up to 0.96. Furthermore, we were able to identify mutations that are associated with AMR for each antibiotic. AVAILABILITY AND IMPLEMENTATION Source code in data preparation and model training are provided at GitHub website (https://github.com/YunxiaoRen/ML-iAMR). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Yunxiao Ren
- Department of Data Science in Biomedicine, Faculty of Mathematics and Computer Science, Philipps-University of Marburg, Marburg 35032, Germany
| | - Trinad Chakraborty
- Institute of Medical Microbiology, Justus Liebig University Giessen, Giessen 35392, Germany,German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany
| | - Swapnil Doijad
- Institute of Medical Microbiology, Justus Liebig University Giessen, Giessen 35392, Germany,German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany
| | - Linda Falgenhauer
- German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany,Institute of Hygiene and Environmental Medicine, Justus Liebig University Giessen, Giessen 35392, Germany,Hessisches universitäres Kompetenzzentrum Krankenhaushygiene, Giessen 35392, Germany
| | - Jane Falgenhauer
- Institute of Medical Microbiology, Justus Liebig University Giessen, Giessen 35392, Germany,German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany
| | - Alexander Goesmann
- German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany,Department of Bioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen 35392, Germany
| | - Anne-Christin Hauschild
- Department of Data Science in Biomedicine, Faculty of Mathematics and Computer Science, Philipps-University of Marburg, Marburg 35032, Germany
| | - Oliver Schwengers
- German Center for Infection Research, Partner site Giessen-Marburg-Langen, Giessen 35392, Germany,Department of Bioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen 35392, Germany
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7
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Lozano-Muñoz I, Wacyk J, Kretschmer C, Vásquez-Martínez Y, Martin MCS. Antimicrobial resistance in Chilean marine-farmed salmon: Improving food safety through One Health. One Health 2021; 12:100219. [PMID: 33553565 PMCID: PMC7856317 DOI: 10.1016/j.onehlt.2021.100219] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/17/2021] [Accepted: 01/21/2021] [Indexed: 12/25/2022] Open
Abstract
Aquaculture is seen as an essential requirement for improving food security and nutrition. Fish such as salmonids are a primary source of protein and essential nutrients. Aquaculture provide income for communities across the world and have a smaller carbon footprint than terrestrial animal-production systems. However, fish diseases are a constant threat, and the use of antibiotics is a source of concern due to its adverse impacts on the environment and human health. Chilean salmon farming has made several efforts to reduce the use of antibiotics for the eradication of piscirickettsiosis, a disease caused by the gram-negative bacteria Piscirickettsia salmonis. Excessive amounts of antibiotics continue to be used in Chilean aquaculture, playing an important role in the emerging public health crisis of antimicrobial resistance. Without doubt, P. salmonis is becoming increasingly resistant to important frontline antimicrobial classes, with severe implications for the future treatment of infectious human and animal diseases. Antimicrobial-resistant bacteria as well as antibiotic residues from salmon production are spreading in the environment, and thus both salmon food commodities and wild organisms can become a source of resistant bacteria that can be transmitted to humans as foodborne contaminants. This urgent threat needs to be addressed by implementing national strategies in compliance with international standards that include both prudent antimicrobial use in marine salmon farms and the investment towards a One Health approach, which combines human, animal and environmental health.
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Affiliation(s)
- Ivonne Lozano-Muñoz
- Laboratorio de Nutrición, Departamento de Producción Animal, Facultad de Ciencias Agronómicas, Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago, Región Metropolitana CP 8820808, Chile
| | - Jurij Wacyk
- Laboratorio de Nutrición, Departamento de Producción Animal, Facultad de Ciencias Agronómicas, Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago, Región Metropolitana CP 8820808, Chile
| | - Cristina Kretschmer
- Laboratorio de Nutrición, Departamento de Producción Animal, Facultad de Ciencias Agronómicas, Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago, Región Metropolitana CP 8820808, Chile
| | - Yesseny Vásquez-Martínez
- Laboratorio de Virología Molecular y Control de Patógenos, Facultad de Química y Biología, Universidad de Santiago de Chile, Av. Libertador Bernardo O’higgins 3363, Santiago, Región Metropolitana CP 9170022, Chile
- Programa Centro de Investigación Biomédica Aplicada, Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Av. Libertador Bernardo O’Higgins 3363, Santiago, Región Metropolitana CP 9170022, Chile
| | - Marcelo Cortez-San Martin
- Laboratorio de Virología Molecular y Control de Patógenos, Facultad de Química y Biología, Universidad de Santiago de Chile, Av. Libertador Bernardo O’higgins 3363, Santiago, Región Metropolitana CP 9170022, Chile
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8
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Pérez-Stuardo D, Espinoza A, Tapia S, Morales-Reyes J, Barrientos C, Vallejos-Vidal E, Sandino AM, Spencer E, Toro-Ascuy D, Rivas-Pardo JA, Reyes-López FE, Reyes-Cerpa S. Non-Specific Antibodies Induce Lysosomal Activation in Atlantic Salmon Macrophages Infected by Piscirickettsia salmonis. Front Immunol 2020; 11:544718. [PMID: 33281810 PMCID: PMC7688784 DOI: 10.3389/fimmu.2020.544718] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 10/14/2020] [Indexed: 11/13/2022] Open
Abstract
Piscirickettsia salmonis, an aggressive intracellular pathogen, is the etiological agent of salmonid rickettsial septicemia (SRS). This is a chronic multisystemic disease that generates high mortalities and large losses in Chilean salmon farming, threatening the sustainability of the salmon industry. Previous reports suggest that P. salmonis is able to survive and replicate in salmonid macrophages, inducing an anti-inflammatory environment and a limited lysosomal response that may be associated with host immune evasion mechanisms favoring bacterial survival. Current control and prophylaxis strategies against P. salmonis (based on the use of antibiotics and vaccines) have not had the expected success against infection. This makes it urgent to unravel the host-pathogen interaction to develop more effective therapeutic strategies. In this study, we evaluated the effect of treatment with IgM-beads on lysosomal activity in Atlantic salmon macrophage-enriched cell cultures infected with P. salmonis by analyzing the lysosomal pH and proteolytic ability through confocal microscopy. The impact of IgM-beads on cytotoxicity induced by P. salmonis in infected cells was evaluated by quantification of cell lysis through release of Lactate Dehydrogenase (LDH) activity. Bacterial load was determined by quantification of 16S rDNA copy number by qPCR, and counting of colony-forming units (CFU) present in the extracellular and intracellular environment. Our results suggest that stimulation with antibodies promotes lysosomal activity by lowering lysosomal pH and increasing the proteolytic activity within this organelle. Additionally, incubation with IgM-beads elicits a decrease in bacterial-induced cytotoxicity in infected Atlantic salmon macrophages and reduces the bacterial load. Overall, our results suggest that stimulation of cells infected by P. salmonis with IgM-beads reverses the modulation of the lysosomal activity induced by bacterial infection, promoting macrophage survival and bacterial elimination. This work represents a new important evidence to understand the bacterial evasion mechanisms established by P. salmonis and contribute to the development of new effective therapeutic strategies against SRS.
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Affiliation(s)
- Diego Pérez-Stuardo
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Allison Espinoza
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Sebastián Tapia
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile.,Consorcio Tecnológico de Sanidad Acuícola, Ictio Biotechnologies S.A., Santiago, Chile
| | | | - Claudio Barrientos
- Consorcio Tecnológico de Sanidad Acuícola, Ictio Biotechnologies S.A., Santiago, Chile
| | - Eva Vallejos-Vidal
- Department of Cell Biology, Physiology and Immunology, Universitat Autonoma de Barcelona, Bellaterra, Spain.,Centro de Biotecnología Acuícola, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
| | - Ana M Sandino
- Consorcio Tecnológico de Sanidad Acuícola, Ictio Biotechnologies S.A., Santiago, Chile.,Centro de Biotecnología Acuícola, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
| | - Eugenio Spencer
- Consorcio Tecnológico de Sanidad Acuícola, Ictio Biotechnologies S.A., Santiago, Chile.,Centro de Biotecnología Acuícola, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
| | - Daniela Toro-Ascuy
- Laboratorio de Virología, Instituto de Ciencias Biomedicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Santiago, Chile
| | - J Andrés Rivas-Pardo
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile.,Escuela de Biotecnología, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Felipe E Reyes-López
- Department of Cell Biology, Physiology and Immunology, Universitat Autonoma de Barcelona, Bellaterra, Spain
| | - Sebastián Reyes-Cerpa
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile.,Escuela de Biotecnología, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
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